Compress verbose Claude Code memory files into token-efficient prose in place.
npx skills add https://github.com/izo/Ulk --skill caveman-compress-izo
Please help me install this Agent Skill. Skill: caveman-compress Source: https://github.com/izo/Ulk/tree/main/community-skills/caveman/caveman-compress Command: npx skills add https://github.com/izo/Ulk --skill caveman-compress-izo
Memory bloat in CLAUDE.md and other context files slows processing and wastes tokens. Caveman Compress rewrites verbose prose into dense, information-preserving shorthand while preserving semantics.
Run /caveman-compress CLAUDE.md to compress its content in place and report the token savings.
High-intent search queries and answers about installing and using this skill.
To compress CLAUDE.md memory files and save tokens, you can rewrite verbose prose into dense, information-preserving shorthand that preserves all semantic content while removing filler preambles.
Context compression for Claude Code memory is the process of rewriting verbose context files into terse, token-efficient prose to prevent memory bloat from slowing processing and wasting tokens.
Yes, compressing context files preserves code blocks and YAML frontmatter. The compression rewrites prose in-place while excluding code blocks and YAML frontmatter as required.
You should compress context files before a long session, before memory distribution, or during long-context audits when files exceed token limits to minimize token usage.
The best way to reduce token usage in Claude Code memory is to rewrite verbose specs and notes into compact form without losing meaning, reporting the exact token savings after compression.
A limitation of compressing memory files in place is that while it preserves all semantic content, it transforms the original prose into dense shorthand, altering the original file format permanently.
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mifunedevEstimate token savings by comparing baseline prose to compressed forms.
CJ-1981Manage token budgets, session state, and context windows for multi-agent workflows.
adihebbalaeCompress AI agent output tokens using telegraphic prose at three levels.
